Hilbertian additive regression with parametric help

Young Kyung Lee, Enno Mammen and Byeong U. Park

Journal of Nonparametric Statistics, 2023, vol. 35, issue 3, 622-641

Abstract: We discuss a way of improving local linear additive regression when the response variable takes values in a general separable Hilbert space. Our methodology covers the case of non-additive regression function as well as additive. We present relevant theory in this flexible framework and demonstrate the benefits of the proposed technique via a real data application.

Date: 2023
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DOI: 10.1080/10485252.2023.2182153

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